
High-Performance Data Solutions Architect
5 days ago
Job Title: Senior Data Engineer
">We are seeking an experienced data engineer to join our team. As a senior data engineer, you will be responsible for designing and building high-performance data pipelines that process large volumes of data.
This role requires strong analytical thinking and problem-solving skills, as well as the ability to work effectively in a collaborative team environment. You should have a passion for performance optimization and efficiency, with experience working with big data technologies such as Spark, Hadoop, and NoSQL databases.
In this role, you will be responsible for:
- Designing and implementing scalable batch processing systems using Python and big data technologies
- Optimizing database performance, focusing on slow-running queries and latency improvements
- Using Python profilers and performance monitoring tools to identify bottlenecks
- Reducing P95 and P99 latency metrics across our data platform
- Building efficient ETL pipelines that can handle large-scale data processing
- Collaborating with data scientists and product teams to understand data requirements
- Monitoring and troubleshooting data pipeline issues in production
- Implementing data quality checks and validation mechanisms
- Documenting data architecture and engineering processes
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 4+ years of experience in data engineering roles
- Strong Python programming skills with focus on data processing libraries
- Experience with big data technologies (Spark, Hadoop, etc.)
- Proven experience optimizing database performance (SQL or NoSQL)
- Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.)
- Understanding of performance optimization techniques and profiling tools
- Experience with cloud platforms (AWS, GCP, or Azure)
PREFERRED QUALIFICATIONS:
- Master's degree in Computer Science or related field
- Experience with SEO data or web crawling systems
- Experience with Clickhouse Database
- Knowledge of distributed systems and microservices architecture
- Familiarity with container orchestration (Kubernetes, Docker)
- Experience with real-time data processing
Skills and Abilities:
- Strong analytical thinking and problem-solving skills
- Excellent attention to detail and commitment to data quality
- Ability to work effectively in a collaborative team environment
- Good communication skills to explain complex technical concepts
- Self-motivated with the ability to work independently
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